[1]CHI Xiaowen,NI Youcong,DU Xin,et al.Smartphone-based speed acquisition and evolutionary modeling for fitness running[J].CAAI Transactions on Intelligent Systems,2017,12(5):702-709.[doi:10.11992/tis.201706045]
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Smartphone-based speed acquisition and evolutionary modeling for fitness running

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 5 Page number: 702-709 Column: 学术论文—智能系统 Public date: 2017-10-25
Title:
Smartphone-based speed acquisition and evolutionary modeling for fitness running
Author(s):
CHI Xiaowen1;  NI Youcong1;  DU Xin1;  YE Peng2;  WU Yandan3
1. Faculty of Software, Fujian Normal University, Fuzhou 350117, China;
2. School of Mathematics and Computer, Wuhan Textile University, Wuhan 430200, China;
3. Physical Science School, Fujian Normal University, Fuzhou 350117, China
Keywords:
fitness running; smart phone; median filter; three-axis acceleration; orientation sensor; speed acquisition; evolutionary modeling
CLC:
TP391
DOI:
10.11992/tis.201706045
Abstract:
Due to the low precision of speed acquisition and the limited search ability of modeling algorithms, it is difficult to obtain a highly precise fitness running model by applying the Brzostowski method. In this paper, we propose a speed acquisition and evolutionarymodeling method for fitness running that is based on the smart phone. First,we introduce a fitness running speed acquisition method based on multiple smartphone sensors and a median filter that can remove the impulse noise of three-axis acceleration signals.This noiseisgenerated by the intermittent gesture changes associated with the use of smartphones.In addition, this method can filter out the gravitational component in three-axis acceleration.Next, we designed an evolutionary modeling algorithm to enlarge the search space to obtain a better fitness running model. The experimental results show that the proposed approach can obtain more accurate speed and fitness running models than the Brzostowski’s approach.
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